Parameter-based morphometry of the wing of ilium

Abstract Introduction The wing of ilium bone has a very complex shape and therefore requires a series of measurements. For complete morphometry, we suggest 22 parameters and statistical approach, which allows to generate 12 parameters based on regression analysis of already measured 10 parameters from anteroposterior (AP) radiographic projection. Methods The study was conducted on a sample of 32 male CT scans of the right hip bone as input data. We imported the CT scans, stored in DICOM format, in Computer Aided Design program and identified 15 anatomical points and 22 parameters (linear distances between the points) on each wing, measured the values of these parameters, and processed them with tools of descriptive statistic and regression analysis in order to generate 12 nonlinear regression models. Results The results of our study are presented in the form of 12 simple one-parameter regression equations, where p values for regression coefficients in equations are less then 0.01 and value of variance R 2 is up to 0.543. Discussion Obtained nonlinear regression models (3 square, 6 exponential, and 3 logarithmic) are the result of the complex shape of the wing of ilium. According to p -values for coefficients in the regression equations, we can consider the results as statistically significant. This approach is time-efficient because the measuring is conducted only on AP radiographic projection. The findings of this study are useful for predicting subject-specific morphometry.